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180 results for “contact zone”
Research Infrastructure Contact Zones
<p>The landscape of biodiversity data infrastructures and organisations is complex and fragmented. Many occupy specialised niches representing narrow segments of the multidimensional biodiversity informatics space, while others operate across a broad front but differ from others by data type(s) handled, their geographic scope and the life cycle phase(s) of the data they support. To characterise the various dimensions of the biodiversity informatics landscape, we developed a framework to survey these dimensions for ten organisations (<a href="https://www.dissco.eu/">DiSSCo</a>, <a href="https://www.gbif.org/">GBIF</a>, <a href="https://ibol.org/">iBOL</a>, <a href="https://www.catalogueoflife.org/">Catalogue of Life</a>, <a href="https://www.inaturalist.org/">iNaturalist</a>, <a href="https://www.biodiversitylibrary.org/">Biodiversity Heritage Library</a>, <a href="https://geocase.eu/">GeoCASe</a>, <a href="https://www.lifewatch.eu/">LifeWatch</a>, <a href="https://www.lter-europe.net/elter-esfri">eLTER</a>, <a href="https://elixir-europe.org/">ELIXIR</a>), relative to both their current activities and long-term strategic ambitions.</p> <p>The results of the survey are presented in this dataset. Details of the assessment methodology, data model, scope and high-level results are described in an accompanying paper, which is currently under review and will be linked to this dataset on publication.</p>
On the formulation and implementation of extrinsic cohesive zone models with contact - data set
<p>This data set contains data relating to the paper "On the formulation and implementation of extrinsic cohesive zone models with contact", <a href="https://doi.org/10.1016/j.cma.2022.115545">https://doi.org/10.1016/j.cma.2022.115545</a> , specifically:<br> 1. the meshes used to conduct finite element analyses,<br> 2. the results of those finite element analyses (in the form of vtk files and numpy pickles), and<br> 3. some images of the meshes and the total displacement at the end of the analyses.<br> <br> The corresponding code to generate and read the data is available at https://github.com/nickcollins-craft/On-the-formulation-and-implementation-of-extrinsic-cohesive-zone-models-with-contact (which is the preferred method), or alternatively via https://doi.org/10.5281/zenodo.6939391.</p>
Fig. 11 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 11 Rates of chatter calls in different magpie populations and individuals. a Each mark represents average chattering rate for a single bird from five populations indicated by colours. Figures are numbers for the outliers: 1, 2—jankowskii from the mixed population of Argun'; 3, 4, 5—hybrid birds from the hybridogeneous population of Kerulen. b Each mark represents average chattering rate for a series of chatterings of one selected individual representing jankowskii, leucoptera, and hybrid birds, respectively. Green mark—pair #6 jankowskii from Vladivostok; gray—pair #43 leucoptera from Tsasuchei, Transbaikalia; blue—pair #24 hybrids from Kerulen, eastern Mongolia. X-axis—number of elements per second in a total series of chattering; Y-axis— number of elements per second in a series of 5 elements of chattering
Fig. 12 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 12 Violin plot diagram of the chatter call speed (elements per second) of Eurasian magpie populations across regions. X-axis presents a set of populations; Y-axis—elements per second. Box outlines the interquantile range (25%, 75%), whiskers represent range without outliers, central bar is the median, red dot is the mean, and figure shape is the probability density. The brackets on the top denote statistically significant pairwise differences (GamesHowell test, p<0.05)
Fig. 9 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 9 Population genetic structure based on unlinked SNP markers. Scatter plots of principal component analysis (PCA) show individual variation in components one and two (a) and three and four (b). The amount of variance explained by each PC is shown in parentheses. I—leucoptera,
Fig. 7 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 7 Bayesian skyline plots (BSPs) for effective female population sizes for haplogroups, subspecies, and populations of Pica pica. a Comparison of 6 haplogroups, depicted in the network Fig. 4. b Comparison of 6 subspecies. c Comparison of 4 populations of P. p. jankowskii. d Comparison of 3 populations of P. p. leucoptera.
Fig. 6 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 6 Mismatch distribution of nucleotide differences in populations representing different haplogroups as at Figs. 4 and 5. X-axis— number of nucleotide differences; Y-axis—proportion (frequency). Solid lines—expected distributions (under expectation of population growth); dashed lines—observed distributions. a Haplogroup 1:
Fig. 5 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 5 Time-calibrated Bayesian tree based on mitochondrial control region sequences of Pica pica. Numbers at the branches indicate Bayesian posterior probability values (left) and bootstrap values of the ML analysis (right, in percent). Triangle widths are proportional to specimen numbers. Blue bars next to nodes indicate 95% credibility intervals for their age estimates. The figures in bold and the time scale below are in million years (Ma) before present
Fig. 4 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 4 Phylogenetic medianjoining network based on 256 mitochondrial control region sequences. Sizes of circles correspond to the number of birds sharing this haplotype; branch lengths are proportional to the number of substitutions and those over 2 are shown at the branches. Haplogroups 1–6 are indicated by numbers
Fig. 2 in Introgression at the emerging secondary contact zone of magpie Pica pica subspecies (Aves: Corvidae): integrating data on nuclear and mitochondrial markers, vocalizations, and field observations
Fig. 2 Map of sampling localities for mitochondrial DNA analysis in the zone of contact between Pica pica leucoptera and Pica pica jankowskii. Distribution of haplotypes is indicated by colours: Pica
Figure 4 in Distribution of two pine processionary moth species in Turkey evidences a contact zone
Figure 4. Distribution of pure T. wilkinsoni (black) and T. pityocampa (white), introgressed individuals (gray with Ia and Ib), dispersal routes and barriers, and the contact zone. Color and sign codes are given in the map legend.
Figure 3 in Distribution of two pine processionary moth species in Turkey evidences a contact zone
Figure 3. Consensus haplotype trees for COI, ITS-1, and photolyase. Three clades of wilkinsoni haplotypes are shown in shaded rectangles. All branches have bootstrap support values> 60%.
Figure 1 in Distribution of two pine processionary moth species in Turkey evidences a contact zone
Figure 1. Map of sampling locations and coniferous forests in Turkey and Cyprus (forest data is from EC-JRC Forest Map, 2006).
Figure 2 in Distribution of two pine processionary moth species in Turkey evidences a contact zone
Figure 2. Distribution maps of a) COI, b) ITS-1, and c) photolyase haplotypes. Haplotypes are colored and numbered in accordance with the network. Color and sign codes are given in the legends on the maps. d) Haplotype networks for COI, ITS-1, and photolyase. Numbers on the dashed lines indicate how many mutations separate two relevant haplotypes.
Fig. 51 in Hybridization Among Western Whiptail Lizards (Cnemidophorus Tigris) In Southwestern New Mexico: Population Genetics, Morphology, And Ecology In Three Contact Zones
Fig. 51. Electrophoretic phenotypes of proteins of several subspecies of C. tigris. Left. ESTD polymorphism in C. t. septentrionalis. The fluorescent patterns were photographed in ultraviolet light. Right. Banding patterns of PGM2 that distinguish septentrionalis (SEP, genotype cc) from punctilinealis (PUN genotype dd), marmoratus (MAR, genotype dd), and aethiops (genotype dd, not illustrated). Arrows indicate sites of sample application; anode is to the right.
Fig. 49 in Hybridization Among Western Whiptail Lizards (Cnemidophorus Tigris) In Southwestern New Mexico: Population Genetics, Morphology, And Ecology In Three Contact Zones
Fig. 49. The contact region. Horizontal lines represent range of pure punctilinealis (coloration indices of 0–0.1; table 24), and vertical lines pure marmoratus (coloration indices of 0.8–1.0). Sites in between (2–5, 18, 19, 26, and 41–44) represent primarily hybrids (coloration indices of 0.11–0.79).
Fig. 52 in Hybridization Among Western Whiptail Lizards (Cnemidophorus Tigris) In Southwestern New Mexico: Population Genetics, Morphology, And Ecology In Three Contact Zones
Fig. 52. Differences in the tissue distribution of lactate dehydrogenase, a tetramer. Top (six lanes) LDH1 predominates in heart. Bottom (five lanes). Both LDH1 and LDH2 are active in liver and the banding patterns include numerous isozymes composed of subunits of both. Note the fivebanded patterns for LDH1 for heterozygous diploid C. neomexicanus (NEO) and a triploid hybrid (HYB) of neomexicanus × tigris. In the heart tissue, LDH1 genotype ab for neomexicanus, the isozymes approximate activities of 1:4:6:4:1. For the triploid hybrid with genotype aab, the faster migrating isozymes stain most intensely (activities approximate the theoretically expected ratio of 16:32:24:8:1). These patterns are consistent with the origin of the hybrid from a mating between C. neomexicanus (NEO) and C. t. punctilinealis (PUN). Other abbreviations are: UNI, C. uniparens; MAR, C. t. marmoratus. Arrow indicates sites of sample application; anode is to the right.
Fig. 47 in Hybridization Among Western Whiptail Lizards (Cnemidophorus Tigris) In Southwestern New Mexico: Population Genetics, Morphology, And Ecology In Three Contact Zones
Fig. 47. Relationship between body length and number of eggs per clutch in specimens of C. tigris from the contact region. MAR, pure marmoratus; PUN, pure punctilinealis; HYB, hybrids. Data are summarized in table 30 and figure 48.
Fig. 48 in Hybridization Among Western Whiptail Lizards (Cnemidophorus Tigris) In Southwestern New Mexico: Population Genetics, Morphology, And Ecology In Three Contact Zones
Fig. 48. Relationship between body length and number of eggs per clutch (same data as table 30 and fig. 47), showing 95% confidence intervals (broken lines) for each plot. M, pure marmoratus P, pure punctilinealis; H, hybrids.
Fig. 46 in Hybridization Among Western Whiptail Lizards (Cnemidophorus Tigris) In Southwestern New Mexico: Population Genetics, Morphology, And Ecology In Three Contact Zones
Fig. 46. Polygons and letters representing the scores of 27 specimens of C. tigris on the first two principal components extracted from the correlation matrix of nine morphological characters observed in the southern transect (table 28). P represents 9 punctilinealis from site 36; M, 9 marmoratus from site 48; and H, 9 hybrids from site 42, the center of the southern hybrid zone (fig. 5).
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.